Triple

T25436693
Position Surface form Disambiguated ID Type / Status
Subject Elsie Viola Kachel E637390 entity
Predicate maritalRelationshipCharacterization P21095 FINISHED
Object often distant marriage LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: often distant marriage | Statement: [Elsie Viola Kachel, maritalRelationshipCharacterization, often distant marriage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalRelationshipCharacterization
Context triple: [Elsie Viola Kachel, maritalRelationshipCharacterization, often distant marriage]
  • A. maritalRelations
    Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
  • B. marriageCharacterization chosen
    Indicates how a marriage is described, evaluated, or characterized in terms of its qualities, dynamics, or nature.
  • C. hasMaritalRelationshipType
    Indicates the specific type or nature of the marital relationship that exists between two entities.
  • D. maritalStyleOf
    Indicates the characteristic manner, pattern, or quality of interaction that defines a particular marriage or marital relationship.
  • E. effectOnMaritalRelations
    Indicates how an action, event, or condition influences the quality, stability, or dynamics of marital relationships between partners.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6e0338c8190ace22e7a6239f68d completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f49377411c8190b2188de444d76795 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 1:59 p.m.